Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers

Thomas Kokumo Yesufu; Abimbola Oyewole Atijosan

doi:doi:10.11648/j.ijiis.20150404.12

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Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers

Thomas Kokumo Yesufu, Abimbola Oyewole Atijosan

Published in International Journal of Intelligent Information Systems (Volume 4, Issue 4)

Received: 10 July 2015 Accepted: 14 July 2015 Published: 25 July 2015

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Abstract

In this paper a software implementation of a reconfigurable Amplitude Modulated (AM) receiver for weak AM signals detection with reduced processing latency is presented. The Stochastic Resonance (SR) algorithm, which is a technique for weak signal detection was developed for software defined, AM receiver. The performance of the SR based AM receiver was evaluated in terms of its output Signal to Noise (SNR) Ratio, and processing latency. From the results from our simulations, this approach provides better performance and lesser processing latency requirement than conventional signal processing methods for detecting AM signals.

Published in	International Journal of Intelligent Information Systems (Volume 4, Issue 4)
DOI	10.11648/j.ijiis.20150404.12
Page(s)	79-83
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Weak Signal Detection, Reconfigurable Receivers, Amplitude Modulation Receivers, Signal Processing

References

[1]	Anthony, S. (2012): Increasing Wireless Network Speed by 1000%, by Replacing Packets with Algebra, Available Online: http://www.extremetech.com/ computing/138424- increasing-wireless-network-speed-by-1000-by-replacing-packets-with-algebra.
[2]	Atijosan, A.O. (2010): Development of a Reconfigurable Amplitude Modulation Receiver, An M.Sc. Thesis Submitted to the Department of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria.
[3]	Centre for Software Defined Radio (CSDR), (2007). “Software Defined Radio: Terms, Trends and Perspectives”. Aalborg Universitet, Aalborg, Denmark. January 2007, pp. 6.
[4]	Iancu, D., Glossner, J., Ye, H., Abdelila, Y., Stuart S. (2003), “Software AM Radio Implementation”. Sandbridge Technologies Inc, 1 N Lexington Avennue, 10th Floor, White Plains, New York 10601.
[5]	Kreyszig, E. (2006). ‘‘ Advanced Engineering Mathematics ’’, 8th Edition. John Wiley and Sons, Inc, pp. 947 – 948.
[6]	Olivier, R., Denby, B. and Sid-Ahmed, H. (2003). “A Real Time Software Radio for the AM Long Wave Band”. Laboratoire des Instruments et Systemes d’Ile de France (LISI6F), Universite Pierre et Marie Curie, B.C. 252, 4 PLACE Jussieu, 75252 Paris Cedex 05, France, pp. 1-4.
[7]	Matteo, F. (2002). ‘Algorithmic advances for software radios’, Vanu Inc, porter square, suite 18, Cambridge, MA 02140, pp.1.
[8]	Shajedul Hasan S.M. and Balister P. (2005): “Prototyping a Software Defined Radio Receiver Based on USRP and OSSIE”. Chameleonic Radio Technical Memo No. 1.
[9]	Weisstein, E. (2008). “Stochastic Resonance.” From MathWorld – A Wolfram WEB Resource, Available Online: http://mathworld.wolfram.com/ StochasticResonance.html.
[10]	White, A. and Williams, A. (2012): Systems, Methods and Computer-Readable Media for Configuring Receiver Latency, Available Online: Http://www.google.com.ng/patents/ US 8966109 B2.
[11]	Yesufu, T.K. (1995). “The Dynamics of a Regenerative Receiver”. Proceedings of the Regional Workshop on Radio Communication in Africa, (Radio Africa 1995) held at Obafemi Awolowo University Ile-Ife, Nigeria, pp. 185.

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APA Style

Thomas Kokumo Yesufu, Abimbola Oyewole Atijosan. (2015). Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers. International Journal of Intelligent Information Systems, 4(4), 79-83. https://doi.org/10.11648/j.ijiis.20150404.12

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ACS Style

Thomas Kokumo Yesufu; Abimbola Oyewole Atijosan. Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers. Int. J. Intell. Inf. Syst. 2015, 4(4), 79-83. doi: 10.11648/j.ijiis.20150404.12

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AMA Style

Thomas Kokumo Yesufu, Abimbola Oyewole Atijosan. Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers. Int J Intell Inf Syst. 2015;4(4):79-83. doi: 10.11648/j.ijiis.20150404.12

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@article{10.11648/j.ijiis.20150404.12,
  author = {Thomas Kokumo Yesufu and Abimbola Oyewole Atijosan},
  title = {Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers},
  journal = {International Journal of Intelligent Information Systems},
  volume = {4},
  number = {4},
  pages = {79-83},
  doi = {10.11648/j.ijiis.20150404.12},
  url = {https://doi.org/10.11648/j.ijiis.20150404.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20150404.12},
  abstract = {In this paper a software implementation of a reconfigurable Amplitude Modulated (AM) receiver for weak AM signals detection with reduced processing latency is presented. The Stochastic Resonance (SR) algorithm, which is a technique for weak signal detection was developed for software defined, AM receiver. The performance of the SR based AM receiver was evaluated in terms of its output Signal to Noise (SNR) Ratio, and processing latency. From the results from our simulations, this approach provides better performance and lesser processing latency requirement than conventional signal processing methods for detecting AM signals.},
 year = {2015}
}

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TY  - JOUR
T1  - Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers
AU  - Thomas Kokumo Yesufu
AU  - Abimbola Oyewole Atijosan
Y1  - 2015/07/25
PY  - 2015
N1  - https://doi.org/10.11648/j.ijiis.20150404.12
DO  - 10.11648/j.ijiis.20150404.12
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
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PB  - Science Publishing Group
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UR  - https://doi.org/10.11648/j.ijiis.20150404.12
AB  - In this paper a software implementation of a reconfigurable Amplitude Modulated (AM) receiver for weak AM signals detection with reduced processing latency is presented. The Stochastic Resonance (SR) algorithm, which is a technique for weak signal detection was developed for software defined, AM receiver. The performance of the SR based AM receiver was evaluated in terms of its output Signal to Noise (SNR) Ratio, and processing latency. From the results from our simulations, this approach provides better performance and lesser processing latency requirement than conventional signal processing methods for detecting AM signals.
VL  - 4
IS  - 4
ER  -

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Author Information

Thomas Kokumo Yesufu

Department of Electronic and Electrical Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria
Abimbola Oyewole Atijosan

Cooperative Information Network, Obafemi Awolowo University, Ile-Ife, Nigeria

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APA Style

Thomas Kokumo Yesufu, Abimbola Oyewole Atijosan. (2015). Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers. International Journal of Intelligent Information Systems, 4(4), 79-83. https://doi.org/10.11648/j.ijiis.20150404.12

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ACS Style

Thomas Kokumo Yesufu; Abimbola Oyewole Atijosan. Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers. Int. J. Intell. Inf. Syst. 2015, 4(4), 79-83. doi: 10.11648/j.ijiis.20150404.12

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AMA Style

Thomas Kokumo Yesufu, Abimbola Oyewole Atijosan. Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers. Int J Intell Inf Syst. 2015;4(4):79-83. doi: 10.11648/j.ijiis.20150404.12

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@article{10.11648/j.ijiis.20150404.12,
  author = {Thomas Kokumo Yesufu and Abimbola Oyewole Atijosan},
  title = {Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers},
  journal = {International Journal of Intelligent Information Systems},
  volume = {4},
  number = {4},
  pages = {79-83},
  doi = {10.11648/j.ijiis.20150404.12},
  url = {https://doi.org/10.11648/j.ijiis.20150404.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20150404.12},
  abstract = {In this paper a software implementation of a reconfigurable Amplitude Modulated (AM) receiver for weak AM signals detection with reduced processing latency is presented. The Stochastic Resonance (SR) algorithm, which is a technique for weak signal detection was developed for software defined, AM receiver. The performance of the SR based AM receiver was evaluated in terms of its output Signal to Noise (SNR) Ratio, and processing latency. From the results from our simulations, this approach provides better performance and lesser processing latency requirement than conventional signal processing methods for detecting AM signals.},
 year = {2015}
}

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TY  - JOUR
T1  - Weak Amplitude Modulated (AM) Signal Detection Algorithm for Software-Defined Radio Receivers
AU  - Thomas Kokumo Yesufu
AU  - Abimbola Oyewole Atijosan
Y1  - 2015/07/25
PY  - 2015
N1  - https://doi.org/10.11648/j.ijiis.20150404.12
DO  - 10.11648/j.ijiis.20150404.12
T2  - International Journal of Intelligent Information Systems
JF  - International Journal of Intelligent Information Systems
JO  - International Journal of Intelligent Information Systems
SP  - 79
EP  - 83
PB  - Science Publishing Group
SN  - 2328-7683
UR  - https://doi.org/10.11648/j.ijiis.20150404.12
AB  - In this paper a software implementation of a reconfigurable Amplitude Modulated (AM) receiver for weak AM signals detection with reduced processing latency is presented. The Stochastic Resonance (SR) algorithm, which is a technique for weak signal detection was developed for software defined, AM receiver. The performance of the SR based AM receiver was evaluated in terms of its output Signal to Noise (SNR) Ratio, and processing latency. From the results from our simulations, this approach provides better performance and lesser processing latency requirement than conventional signal processing methods for detecting AM signals.
VL  - 4
IS  - 4
ER  -

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